Course : Guiding the Use of AI in Corporate Communications

Challenges, Tools, and Ethics for Public and Nonprofit Organizations

Practical course - 2d - 14h00 - Ref. MLD
Price : 1470 CHF E.T.

Guiding the Use of AI in Corporate Communications

Challenges, Tools, and Ethics for Public and Nonprofit Organizations


New course

Artificial intelligence is profoundly transforming the communication practices of public organizations, healthcare facilities, medical-social institutions, and the nonprofit sector. Beyond the potential gains in efficiency, its use raises specific issues regarding neutrality, transparency, regulatory compliance, and maintaining public trust. This training course provides participants with a clear understanding of the opportunities and limitations of generative and agent-based AI, helps them identify relevant applications for their organization, and enables them to establish an appropriate governance framework.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Disponible en anglais, à la demande

Ref. MLD
  2d - 14h00
1470 CHF E.T.




Artificial intelligence is profoundly transforming the communication practices of public organizations, healthcare facilities, medical-social institutions, and the nonprofit sector. Beyond the potential gains in efficiency, its use raises specific issues regarding neutrality, transparency, regulatory compliance, and maintaining public trust. This training course provides participants with a clear understanding of the opportunities and limitations of generative and agent-based AI, helps them identify relevant applications for their organization, and enables them to establish an appropriate governance framework.



Intended audience
Communications directors, communications managers, communications officers, public relations managers, editorial managers, digital communications managers, and communications professionals at local governments, government agencies, public institutions, healthcare and social service facilities, associations, and foundations.

Prerequisites
None

Practical details
Methodological insights illustrated with examples from the public, medical-social, and nonprofit sectors. Interactive presentations and live demonstrations of generative AI tools. Case studies, hands-on exercises, collaborative workshops, and professional role-playing scenarios. Risk/value matrix templates, checklists, and a framework for an AI usage policy. Sharing of experiences and user feedback among participants.

Course schedule

1
Understanding Generative AI and Its Implications for Corporate Communications

  • Identify the main categories of artificial intelligence and their current applications
  • Explain how a language model works and the mechanisms behind content generation
  • Distinguishing Between Generative AI, Multimodal AI, and Agent-Based AI
  • Recognizing the Limitations of AI: Hallucinations, Bias, Lack of Context, and Factual Errors
  • Analyze trends in AI adoption in the public, healthcare, and nonprofit sectors
Hands-on work
Interactive quiz to assess knowledge; group analysis of real-world use cases; pair exercise comparing human-generated content with AI-generated content; group debriefing on the observed benefits, limitations, and organizational impacts.

2
Understand the regulatory and ethical framework and the associated responsibilities

  • Identify the key obligations under the GDPR that apply to the use of generative AI
  • Explain the impacts of the European regulation on artificial intelligence (AI Act)
  • Incorporate digital accessibility and transparency requirements into the content produced
  • Assessing the editorial and legal responsibilities associated with the use of AI
  • Prevent risks related to confidentiality, sensitive data, and intellectual property
  • Integrate considerations regarding digital restraint and environmental footprint into the organization’s use of AI
  • Identifying Digital Sovereignty Requirements: Selecting Solutions That Comply with Public Standards and Ensuring Control Over Institutional Data
Hands-on work
Case study in small groups focusing on several scenarios involving the use of AI; analysis of regulatory risks; identification of non-compliance issues; group debriefing; and development of a checklist applicable within the organization.

3
Identify high-value-added use cases and produce institutional content using AI

  • Mapping relevant uses of AI according to different types of institutional communication
  • Use query formulation techniques to obtain reliable and actionable results
  • Draft press releases, web content, social media posts, and briefing notes
  • Adapt the generated content to the organization’s editorial guidelines and institutional voice
  • Check the quality, relevance, and consistency of content before publication
Hands-on work
Individual exercises in AI-assisted writing; a workshop on rephrasing and improving content; group work on drafting an institutional press release; critical cross-analysis of the participants’ work; and applying these skills to professional scenarios provided by the participants.

4
Ensuring Safe Use: Misinformation, Deepfakes, and Maintaining Trust

  • Identify the main risks of information manipulation associated with AI
  • Identify signs of artificially generated or potentially misleading content
  • Verify the accuracy of the information produced before publication
  • Implement human validation and quality control procedures
  • Define the actions to be taken in the event that falsified content or a deepfake is disseminated
Hands-on work
Analysis of a corpus consisting of texts, images, and multimedia content; exercise in identifying risks and biases; group crisis management simulation; development of a pre-publication verification procedure; presentation of findings and collective debriefing.

5
Select the Right Tools and Establish Responsible AI Governance

  • Compare the leading AI tools for corporate communications
  • Identify the criteria for selecting a solution based on needs, security, and data sovereignty
  • Define the rules of use, roles, and responsibilities within the organization
  • Defining the Framework for Human Oversight of Agent-Based AI Applications: Validation Workflow, Decision Traceability, and Editorial Responsibility
  • Develop an AI usage policy and a deployment roadmap
Hands-on work
Guided demonstrations of various solutions available on the market; individual workshop to identify priority use cases; development of a risk/value matrix; drafting of the foundation for a usage charter; presentations in small groups and collective refinement of the outcomes.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.

Dates and locations

Dernières places
Date garantie en présentiel ou à distance
Session garantie
From 21 to 22 December 2026
FR
Remote class
Registration
From 18 to 19 March 2027
FR
Remote class
Registration
From 28 to 29 June 2027
FR
Remote class
Registration
From 7 to 8 October 2027
FR
Remote class
Registration
From 13 to 14 December 2027
FR
Remote class
Registration

REMOTE CLASS
2026 : 21 Dec.

2027 : 18 Mar., 28 June, 7 Oct., 13 Dec.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.